Unify CI test for regression and TimeAvgDiag

For PICMI, the TimeAveragedDiag test is automatically disabled because we
cannot simply define the necessary output intervals.
We need to be able to define period=[100,69:100] like for the app input.

Examples/Physics_applications/laser_ion/CMakeLists.txt

@@ -6,38 +6,17 @@ add_warpx_test(
     2  # dims
     2  # nprocs
     inputs_test_2d_laser_ion_acc  # inputs
-    analysis_default_openpmd_regression.py  # analysis
+    analysis_test_laser_ion.py  # analysis
     diags/diagInst/  # output
     OFF  # dependency
 )
 
-add_warpx_test(
-    test_2d_laser_ion_acc_time_avg  # name
-    2  # dims
-    2  # nprocs
-    inputs_test_2d_laser_ion_acc  # inputs; will not be used b/c dependent test
-    analysis_time_avg_diags.py  # analysis
-    diags/diagTimeAvg/  # output
-    test_2d_laser_ion_acc  # dependency
-)
-
 add_warpx_test(
     test_2d_laser_ion_acc_picmi  # name
     2  # dims
     2  # nprocs
     inputs_test_2d_laser_ion_acc_picmi.py  # inputs
-    analysis_default_openpmd_regression.py  # analysis
+    analysis_test_laser_ion.py  # analysis
     diags/diagInst/  # output
     OFF  # dependency
 )
-
-# We do not have an intervals parser for PICMI yet which would accept more than a single integer for the output period
-#add_warpx_test(
-#    test_2d_laser_ion_acc_time_avg_picmi  # name
-#    2  # dims
-#    2  # nprocs
-#    inputs_test_2d_laser_ion_acc_picmi.py  # inputs
-#    analysis_time_avg_diags.py  # analysis
-#    diags/diagTimeAvg/  # output
-#    test_2d_laser_ion_acc_picmi  # dependency
-#)

Examples/Physics_applications/laser_ion/analysis_time_avg_diags.py → Examples/Physics_applications/laser_ion/analysis_test_laser_ion.py

@@ -1,10 +1,32 @@
 #!/usr/bin/env python3
 
+import os
+import re
 import sys
 
 import numpy as np
 import openpmd_api as io
 
+sys.path.insert(1, "../../../../warpx/Regression/Checksum/")
+from checksumAPI import evaluate_checksum
+
+
+def analyze_openpmd_regression(output_file):
+    # Run checksum regression test
+    if re.search("single_precision", output_file):
+        evaluate_checksum(
+            test_name=test_name,
+            output_file=output_file,
+            output_format="openpmd",
+            rtol=2e-6,
+        )
+    else:
+        evaluate_checksum(
+            test_name=test_name,
+            output_file=output_file,
+            output_format="openpmd",
+        )
+
 
 def load_field_from_iteration(
     series, iteration: int, field: str, coord: str = None
@@ -27,15 +49,15 @@ def load_field_from_iteration(
     return field_data
 
 
-def main():
+def compare_time_avg_with_instantaneous_diags(dir_inst: str, dir_avg: str):
+    """Compare instantaneous data (multiple iterations averaged in post-processing) with in-situ averaged data."""
+
     field = "E"
     coord = "z"
     avg_period_steps = 5
     avg_output_step = 100
 
-    path_tpl_inst = "diags/diagInst/openpmd_%T.h5"
-
-    dir_avg = sys.argv[1]
+    path_tpl_inst = f"{dir_inst}/openpmd_%T.h5"
     path_tpl_avg = f"{dir_avg}/openpmd_%T.h5"
 
     si = io.Series(path_tpl_inst, io.Access.read_only)
@@ -63,4 +85,18 @@ def main():
 
 
 if __name__ == "__main__":
-    main()
+
+    test_name = os.path.split(os.getcwd())[1]
+    inst_output_file = sys.argv[1]
+
+    # Regression checksum test
+    #   NOTE: works only in the example directory due to relative path import
+    analyze_openpmd_regression(inst_output_file)
+
+    # TODO: implement intervals parser for PICMI that allows more complex output periods
+    if "picmi" not in test_name:
+        # Functionality test for TimeAveragedDiagnostics
+        compare_time_avg_with_instantaneous_diags(
+            dir_inst=sys.argv[1],
+            dir_avg="diags/diagTimeAvg/",
+        )